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» Application of Level Set Methods in Computer Vision
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CAMP
2005
IEEE
14 years 1 months ago
Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems
Abstract— Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all senso...
Roberto Pirrone, Giuseppe Careri, F. Saverio Fabia...
JMIV
2007
116views more  JMIV 2007»
13 years 7 months ago
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing
We discuss the existence of viscosity solutions for a class of anisotropic level-set methods which can be seen as an extension of the mean-curvature motion with a nonlinear anisot...
Tobias Preusser
ISVC
2010
Springer
13 years 6 months ago
Robust Rigid Shape Registration Method Using a Level Set Formulation
Abstract. This paper presents a fast algorithm for robust registration of shapes implicitly represented by signed distance functions(SDF). The proposed algorithm aims to recover th...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...
CVPR
2008
IEEE
14 years 9 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman

Publication
202views
15 years 3 months ago
Distance-based Speed Functions for Level Set Methods in Image Segmentation
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measure...
Karsten Rink and Klaus Tonnies